{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pima Indians Diabetes Data Set数据探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 导入数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "0          6                           148              72   \n",
       "1          1                            85              66   \n",
       "2          8                           183              64   \n",
       "3          1                            89              66   \n",
       "4          0                           137              40   \n",
       "\n",
       "   Triceps_skin_fold_thickness  serum_insulin   BMI  \\\n",
       "0                           35              0  33.6   \n",
       "1                           29              0  26.6   \n",
       "2                            0              0  23.3   \n",
       "3                           23             94  28.1   \n",
       "4                           35            168  43.1   \n",
       "\n",
       "   Diabetes_pedigree_function  Age  Target  \n",
       "0                       0.627   50       1  \n",
       "1                       0.351   31       0  \n",
       "2                       0.672   32       1  \n",
       "3                       0.167   21       0  \n",
       "4                       2.288   33       1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = pd.read_csv(\"data/pima-indians-diabetes.csv\")\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(768, 9)\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      "pregnants                       768 non-null int64\n",
      "Plasma_glucose_concentration    768 non-null int64\n",
      "blood_pressure                  768 non-null int64\n",
      "Triceps_skin_fold_thickness     768 non-null int64\n",
      "serum_insulin                   768 non-null int64\n",
      "BMI                             768 non-null float64\n",
      "Diabetes_pedigree_function      768 non-null float64\n",
      "Age                             768 non-null int64\n",
      "Target                          768 non-null int64\n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.0 KB\n",
      "None\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "count  768.000000                    768.000000      768.000000   \n",
       "mean     3.845052                    120.894531       69.105469   \n",
       "std      3.369578                     31.972618       19.355807   \n",
       "min      0.000000                      0.000000        0.000000   \n",
       "25%      1.000000                     99.000000       62.000000   \n",
       "50%      3.000000                    117.000000       72.000000   \n",
       "75%      6.000000                    140.250000       80.000000   \n",
       "max     17.000000                    199.000000      122.000000   \n",
       "\n",
       "       Triceps_skin_fold_thickness  serum_insulin         BMI  \\\n",
       "count                   768.000000     768.000000  768.000000   \n",
       "mean                     20.536458      79.799479   31.992578   \n",
       "std                      15.952218     115.244002    7.884160   \n",
       "min                       0.000000       0.000000    0.000000   \n",
       "25%                       0.000000       0.000000   27.300000   \n",
       "50%                      23.000000      30.500000   32.000000   \n",
       "75%                      32.000000     127.250000   36.600000   \n",
       "max                      99.000000     846.000000   67.100000   \n",
       "\n",
       "       Diabetes_pedigree_function         Age      Target  \n",
       "count                  768.000000  768.000000  768.000000  \n",
       "mean                     0.471876   33.240885    0.348958  \n",
       "std                      0.331329   11.760232    0.476951  \n",
       "min                      0.078000   21.000000    0.000000  \n",
       "25%                      0.243750   24.000000    0.000000  \n",
       "50%                      0.372500   29.000000    0.000000  \n",
       "75%                      0.626250   41.000000    1.000000  \n",
       "max                      2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(X.shape)\n",
    "print(X.info())\n",
    "X.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.结果中有很多的0值，0值对于：血浆葡萄糖浓度，舒张压，三头肌皮褶厚度，血清胰岛素，BMI，这5个指标而言，都是无意义的。\n",
    "#### 2.serum_insulin 这一列中的max值为:846，可以明细看出来这个值远远大于75%分位值和平均值。可以列入异常值考虑范围之中。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plasma_glucose_concentration      5\n",
      "blood_pressure                   35\n",
      "Triceps_skin_fold_thickness     227\n",
      "serum_insulin                   374\n",
      "BMI                              11\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "NaN_col_names = ['Plasma_glucose_concentration','blood_pressure','Triceps_skin_fold_thickness','serum_insulin','BMI']\n",
    "print((X[NaN_col_names] == 0).sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 查看每个变量的分布 及其与标签之间的关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(X['Target'])\n",
    "plt.xlabel('Diabetes')\n",
    "plt.ylabel('Number of Occurrence')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 怀孕次数 pregnants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(X['pregnants'])\n",
    "plt.xlabel('Number of Pregnants')\n",
    "plt.ylabel('Number of Occurrence')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 根据常识，怀孕次数17 基本是不可能的。再根据样本分布情况从次数14，15，17样本数目非常少，可以作为异常数值处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='pregnants',hue='Target',data=X)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 从上图可以看出来，怀孕次数越多，患病样本的占比越大"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 血浆葡萄糖浓度 Plasma_glucose_concentration\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(X['Plasma_glucose_concentration'], kde = False)\n",
    "plt.xlabel('Plasma_glucose_concentration')\n",
    "plt.ylabel('Number of Occurrence')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x = 'Target', y = 'Plasma_glucose_concentration', data=X)\n",
    "plt.xlabel('Diabetes')\n",
    "plt.ylabel('Plasma_glucose_concentration')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 在患病样本中，血浆葡萄糖浓度整体分布稍微大于正常样本"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## blood_pressure 血压"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(X['blood_pressure'], kde = False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x = 'Target', y = 'blood_pressure', data = X)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 看上去血压大小对患病是否关系不大"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Triceps_skin_fold_thickness  三头肌皮褶厚度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(X['Triceps_skin_fold_thickness'], kde = False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 0值样本有点多，需要处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x = 'Target', y = 'Triceps_skin_fold_thickness', data = X)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 看上去三头肌皮褶厚度大小对患病是否关系不大"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## serum_insulin 血清胰岛素"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x118fe8f0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(X['serum_insulin'], kde = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 0值样本有半数多了，需要处理，如果已有的样本数据和Target相关性不大的话，感觉可以直接丢弃这一列了。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vtfYgpE8yc8mCxpg/dtH7/gR4TkTuBj4hvgw51vVTIrKVeAviK130fuoYWltbiYkbXPGQ0KU5lBNUVFQA4HXFvysOyIoeeHzy5Mm21dWbJBMSs0XkN8A/OI5VYI0xbwNvW7e3A9PbOSbIUc63UKkTbG09MHAN6DRY5Qjl5eUAZFgtif6ZMdwCu3fvtrGq3iWZkJgEfIP49NXETCVdBbaHaGnxY1xejCsDOLhMh1J22r59Ox7XwZaExwUDc2Ls2LHD5sp6j2RC4p+AkcYY7YfogZqbmzEZReCJD1Y3NTXZXJFSsG3rVobkxGh7tlRpTpitWzbbV1Qvk8zA9RpA9wzsgYwxNDU1YjyZGI8PiA8YKmUnYwybNm1keO6h30tH5EXYt7+Guro6myrrXZIJiWJgo4gsFJF5iUuqClPp09DQQCwaxWRkE8vIBuJTDJWyU0VFBU3NLYzMP/QM68T9DRs2tPcy1cWS6W76TcqqULaqrq4GwGRkg9uLuD3s3bvX5qpUb7du3ToARhdEeH+v78Djw/MiuCX+/IwZM+wqr9dIZme6d1JZiLLPnj17AIj5ckEE48vTkFC2++yzz8jOEIbkRA953OeGYXlRPl27xqbKepdOdzeJSJOINFqXoIhERaQxlcWp9KisjJ/wHvPF95WKZORQbs1PV8ouqz9ZxZj8VlztLNYzrjDEho0bdXmONOh0SBhj8owx+dYlE/gi8N+pK02lS2VlJZKRCdagdcyXT2VlpS7yp2xTU1PD7vIKxhe2f+b/+MIw4XCE9evXp7my3ue4F/gzxryKniPRI5SXlxP1HdydNpaZR2swqIPXyjarV68G4KQ+7YfEuMIIIgePU6mTTHfTF9pcrhWR++hgDwnVvZTt3k3U2zYkCoCDSyIolW4rV64kOwOG50XbfT7bYxiRF2XlihVprqz3SaYlcWWby+eBJuKbBKlurLW1lZr9+w8EA8S7m+DgkghKpZMxhhUff8RJhe2PRyRM7NPK+g0baGlpSV9xvVCnZjeJiBtYa4x5MMX1qDSrqKjAGEMsM//AY8aXC+LS9XGULXbv3k31vv1cOvboKxGf3DfMa7tirFq1inPPPTdN1fU+nWpJGGOiwFUprkXZIBEEbVsSiAuyCjQklC0+/PBDACb3O3pIjCmIkOmBjz76KB1l9VrJdDctF5H/FpFzReTUxCVllam0SHQpHRISQNibR5mGhLLBBx+8z+AcQ1FW7KjHeVzxLqcP3n9PZ+KlUDJnXCdObfxdm8d0Fdhubvfu3YgvG9wZhzxuMvOprNxENBrF7XbbVJ3qbZqbm1m9ejWXDOncUvVT+4VZubGWLVu2MHbs2BRX1zslc8b1zFQWouxRUVFBpM3MpoSYL59IOMz+/fspLi62oTLVG33wwQdEozFOLercYtNT+ocQgaVLl2pIpEgyU2CLReRxEfm7dX+CiNyYutJUOpRXVBJrNyTijyXOxlYqHRYvWkTfTBh12KJ+Hcn3Gib0CbPkrcXa5ZQiyYxJ/BlYCAy27m8GftjVBan0iUQi1NfVxtdsOkziMV3DSaVLfX09H3/8MWcUBY469fVwZw5opaKySleFTZFkQqK/MeYFrF3pjDERoP0zXVS3UFNTgzEG48054rnEYzU1NekuS/VSCxcuJBKNcu6g5NZjmj4ghM8N8+fPT1FlvVsyIdEiIv2wzrIWkTMB3ZmmG9u/fz/AgT0kDuHyIBk+9u3bl+aqVG8Ui8WYN/dVRhdEKclN7rtnlsdwxoAgixe9qTsqpkAyIXE7MA8YJSLvAU8CP0hJVSotEgFgvO2EBGAycg4EiVKptHz5cioqq/h8if+4Xn9xSZBga4h583QftK6WTEiMAi4lPhV2IbCF5KbQKodJhETM6lrylX2Ar+yDA89HMrKosvaaUCpVjDE8/dSTFGUZpnVyVtPhhuZFOblvmL+9+AKBQKCLK+zdkgmJXxljGoE+wIXAY8AjKalKpUVFRQWS4QN3fIlwl78Wl//gyq8xXz4V5RU6a0Sl1HvvvcfGTZu5algL7uNelxr+aYSfuvoGXn755a4rTiUVEomOwsuB/zHGzAW8XV+SSpeNmzYRySwEaX8qSSyrD8FgQKfBqpQJh8M89uj/MDDHcM7AE9tAaExBhCn9Q/z1maepq6vrogpVMiFRISKPAtcBb4iIL8nXKwfx+/1s2bKFaE5Rh8dEc+PPrV27Nl1lqV7mpZdeomx3OV8b1XRCrYiEr4xqIRgM8Oijj574D1NAch/y1xEfi7jEGFMP9AV+nJKqVMp99NFHRCMRIgWlHR4Ty+oLvlyWLl2WxspUb1FVVcWfn5jD1P4hpvQ/+mJ+nTU4J8YlJQEWLFigGxJ1kWS2L/UbY142xmyx7lcZY/6RutJUKs177TXw5RDNO8qSGyKECofz4YcfUl1dnb7iVI8Xi8V44P77kWiIb4zt2v0grhnhZ0C24YH779NB7C6g3UW90ObNm1m1ciWtRePjy4IfRaj4JGImxosvvpim6lRv8Oqrr/LJ6tV8eVQz/TOPvtprsnxuuGlcI5VVe3jkEZ1bc6I0JHoZYwwPP/wwkpFJqGj8sY/35RHuN5qXX3lFB7BVl9ixYwePPPInTukXZubgExus7sj4PhEuKQ0wb948li9fnpL36C1SGhIiUioiS0Rkg4isE5Fbrcf7isibIrLFuu5jPS4i8kcR2Soia3W/iq63ZMkS1qxZQ2DQFPD4OvWa1iGnETPC7Nl/1Omw6oS0trbyu9/eSZYrwk0nNXU0sa5LfGmUn2F5Me6/7z/0pNATkOqWRAT4kTHmJOBM4HsiMgH4KbDYGDMGWGzdh/jJemOsy83oeRhdqr6+ngcfmk0st4jwgGO3IhKMN5vA4Kl8+OEHLFq0KIUVqp7u4YcfZsfOXdw8vpECb2q/cGS44DsTGgm2NHHP3XcTjepSc8cjpSFhDW6vsm43ARuAIcDVwF+sw/4CXGPdvhp40sR9ABSKyKBU1thbGGP4wx/+QFNzE4FhZx9zLOJw4eIJxHIH8NBDs/VbmTouS5cuZd68eVw2NHDMrUm7ypCcKN8Y08wnq1fz7LPPpuU9e5q0jUmIyHBgKvAhUGyMqYJ4kAADrMOGAG33zCy3HlMn6M0332Tp0qW0Dj6VWHbf5H+AuPCPOBd/MMj99z+g3U4qKdXV1fz+gfsZkR/l2pHHtz7T8Tp3UCtnDmhlzpw5rF+/Pq3v3ROkJSREJBd4CfihtbRHh4e289gRn0YicrOIrBCRFbpK6bFVV1fz4EMPEcsbQGjgycf9c0xmAYEh0/j444947bXXurBC1ZMZY7j/vvsIBf18d0IjnjRPlxGB68e10NcX45677yIY7NzWqCou5b8uEckgHhDPGGMSi6rsTXQjWdeJSfjlQNuzu0qAI6bUGGMeM8ZMM8ZMKyrq+IxhZf0P+sADBFvD+Id/LulupsOFB5xENH8w//3wwzrbSXXK/PnzWblqFV8d1cTA7K6d7tpZORmGm8Y3UFFZxZw5c2ypobtK9ewmAR4HNhhj/tDmqXnA9dbt64G5bR7/pjXL6UygIdEtpY7P/PnzWbliBYGSaZjM/BP/gSIEhp9DOGq47777icXs+Z9edQ/19fU88qeHOalPhPNTNN21syb0iXDBkCAvvvgCW7ZssbWW7iTVLYmzgW8AF4jIautyGXAfcJGIbAEusu4DvAFsB7YC/wvckuL6erS9e/fy3w8/TDR/EOFOnBPRWcaXS6BkOmvXrmHu3LnHfoHqtf785z8TCAT45tjmpLYkTZUvjfSTkwF/+tPDOq7WSSndD8IY8y7tjzMAzGrneAN8L5U19RaxWIz7H3iA1lCEwJhzOlzp9XiF+48ho24njzzyP0yfPp0hQ3R+gTpUdXU18+bNY+bgIENyjn/66dObs9nV5Abg3lX5DM2N8M9jj2/wOyfD8E/DW3jqk9WsXr2aqVOnHnddvYWecd1Dvfrqq6xauZJAyekYX17Xv4EIgeFnE47B3ffcQyQS6fr3UN3a3LlzMSbG5UNPbP2ksmYPgaiLQNTFxvoMyppP7LvteYOC5Hrh5ZdfOqGf01toSPRAmzdv5k9/eoRIQSnhonEpex/jzcE/9Ew2rF/PE088kbL3Ud2PMYYFb8xnSr8Q/bOcNW7ldcN5AwO89+57NDQ02F2O42lI9DD19fX84pe/JOL2ERzR9d1Mh4v0G0Wo/1ieeeYZli5dmtL3Ut3Hrl27qKmr59T+x7cdaaqdWhQiZgxr1qyxuxTH05DoQfx+P3f85Cfs219Dy8iZmIystLxv67AzieUWcdddd+kGRQqAdevWATC+MD1nVidrRF6EDDd89tlndpfieBoSPYTf7+fnP/85mzdvxj9yJrHcNJ4/4vLgH30hYU82P/npT9mwYUP63ls5Um1tfK/0vl28DHhX8big0HewTtUxDYkeoKGhgdtuv53Va9YQGH4u0T5D016DyciiecznCcQ8/PCHt7Fy5cq016Cco7m5mQx3fJE9p8p2x2hp6doNj3oiB/8KVWeUlZXx3VtuYdPmLQRGXUCk/2jbajG+XJrHXUbQnc0dd9zB/PnzbatF2Ss3N5dwFMLObEgA4I+6yM3NtbsMx9OQ6Mbef/99vv3t71C1rxb/2M8T6TPM7pIw3myax11KKKeY3//+98yePZtw2Jn90ip1+vTpA0B9qzM/YmIGGloP1qk65szfoDqqSCTCo48+ys9+9jP8riyaxl9JNG+g3WUd5PHhH3sxoeKJvPLKK3z/Bz9gz549dlel0mjkyJEA7DrBcxpSpcrvJhQ9WKfqmIZEN7N3715u/eEPefbZZwkVjaN5/OUYnwObzOKidegZBEbNZPPW7dx44028++67dlel0mTUqFG43S52NLrtLqVdibrGjh1rcyXOpyHRjSxbtox//dcbWb9xM4GR59E6/GxwOfObWkKk7wiaTrqKJjL55S9/yUMPPURrq70LvanU8/l8jBkzhs0NXrtLadeWhgxysrMYNsz+Llqn05DoBkKhELNnz+ZXv/oVTWTRdNJVRPqN6tL38JV9gNtfg9tfQ9bGN/CVfdBlP9tk5tMy/nJCxRN59dVX+c53v0t5eXmX/XzlTJMmTWZ7o4eoAwevtzZ5mXjyJNxuZ7Z0nERDwuGqqqq45Xvf45VXXiFUPJGW8Zd1zZLfh3H5a5FoGImG8TTtweXv4vnjLjetQ8/AP+Yidu6u5MabbuLtt9/u2vdQjjJy5EjCMdgXdNbHTDQGVS0uRo3q2i9aPZWzfnvqEGvXruXmb3+bbTvKCIyeRevQM8DVvb/5RAtLaTrpKgKefO68804ef/xx3ZOih0qsDLwv4Ky/2fqQi0gMBg8ebHcp3YKGhEMtXryY2267jaaw0HTSFY6Y3tpVjC+XlnGXEuo/hqeeeorf/va3Ok22B4pG48uDZ7ictW+Dx6onUZ86OmePevZSCxYs4L777yeaW4x/9Czw+Owuqeu53LQOP4dYZiHvvPMO4XCYO++8E6/XmQOdKnmJac/ZGc4KiSy3QQSdlt1J2pJwmHfffTceEHmD8I+5uGcGRIII4UGTCA47i+XLl3PvvffqbmE9yIK//53ibEPpCWw4lApeN0zuG+LNfyzUfVA6QUPCQbZv385dd91NLKc//jEXgrt3NPTCA06itWQab7/9Nk899ZTd5agusGTJEtasXct5g/ypXq3+uMwcHKSmto5nnnnG7lIcT0PCIQKBAL/69a8J4cY/apbjz3/oaqGBkwj3G8WcJ57gk08+sbscdQLWrVvHf9x7L2MLI3y+NGh3Oe2a2j/MOQODPPHEEyxevNjuchxNQ8IBjDE89NBDVJSX0zL8cxhvtt0lpZ8IwWEzILOA3911NzU1NXZXpI7DggULuP322yjMCHHryY2OXQVWBP5lfAvjCiPcc/fdPPnkkzqQ3QGH/gp7lxdffJGFCxfSOngK0fxBdpdjH3cGLSPPo76hkV/88pd6ZnY30tLSwj333MN9993HyGw/P59aT57X2eNLGS64fXIDZw4IMmfOHH50++1UV1fbXZbjaEjYKBaL8eSTT/KnRx4h0mc4ocFT7S7JdrHsfviHn8vGDRv49x//WFsUDhcOh3n55Zf52le/wqJFb/KFEX7xj77wAAASn0lEQVR+MqWBvr7uce5Llge+PaGZb53UzIbP1vCNb/wzc+bMwe/3212aY2hI2KSqqoqf/uxnzJkzh3DfkQRGfC7l+1F3F5G+wwmMPI/P1q3nxptuYvny5TrryWFisRhvv/02N1z/Tf74xz8y2F3Hb06r55oRAVzd7M9YBM4d1Mo90+uYUtDEk08+yde+8uX4KgchZ+7RnU69a3TUAbZt28Zf//pXlixZQox4P3y4aJwGxGEi/UbRnNUHs30JP//5zxkxciT//PWvc9555+Hx6J+tXcLhMIsWLeLZvz5D2e5yhuTG+NHkZib3C3f7P+EBWTG+d3IzlzQGeW5rhNmzZ/P0U0/ypeu+zJVXXklOTo7dJdpCuvs3tGnTppkVK1bYXcZRVVdXs3z5ct5+5x1Wf/IJ4s6gtWgcoeKJGK8z/vCyNr6Bp+ngyUWRvIEExl9mY0WWWBRP7XYy93yKBOoZMKCYWbMu4Nxzz2X8+PG4XNoYTge/38/rr7/OC88/x/6aWobmxbi8tIUzikMpbzncuyqfjfUZB+6PLwzz81MbU/qexsBntRnML8tmfZ2HnOwsrvmnL/DFL36Rvn37pvS900VEVhpjph3zOA2JrmeMYefOnbz33nssXbaMzZs2xZ/IKqC172hCA8Y77iS5rHWvkhvzc8UVV/D666/T7MomMPEau8s6yBg89WV4qzfgbtoDJkZhn7587txzOOecczjllFPw+Zz137Qn2LdvHy+//DLz5r5Kiz/ASX0iXD7Uz6S+6Ws52BESbW1vdDN/VxYr9vnwZHi4+OLPc91113X7ZcY7GxLabu8CsViMnTt3smbNGlavXs3qNWtoqK+PP5c7gHDJaUQKhxHLKrS50o5JJMQVV13B97//fYwxvPDaQrtLOpQIkT7D4mtYRVrx1O8mXF/Ga/P/zrx58/B4MjhpwklMnTKFU045hYkTJ5KZmWl31d3Wjh07eO6551i8aBHRWJTTi1q5dEKQUfm97wzlkflRfjCpmSq/n4W7s/jHgvnMnz+fGWedxVe++lUmT55sd4kppSFxHCKRCNu2bePTTz9lzZo1fLJ6Nc1NTQCIL5dQbjHR4ROJFJQ4pjvpWIzHy+uvv44xhvnz52M8Dj5Xw+Mj0n80kf6jCcYiuBur8DRWsmZbJZ9++ik8+SRut5tx48YzdeoUJk+ezMSJE3XT+04oLy9nzpw5LFnyFl4XzBwU4POlQQZkdY/ZSqk0KDvGDeNa+MIIP4vKM1m88n2Wv/8+0047lX+98SYmTJhgd4kpod1NnRAMBtmwYQNr165l7dq1fLZuHa1B60zSzHzCucVE8gYSzRuI8eZ2y0Fox45JJCsSwt28F3fTHjKa9+Jq2Q8mhogwfMQIppxyCpMmTWLy5Mn079/f7modo7q6mieeeIKFCxeSITEuKglw6dAAeQ5YnM/u7qaOtEbhrYpMXi/LoSkEM846i5u+9a1us2+2djedAGMMO3bs4L333mP5+++zadMmYtbZmCa7L+H8EUQHFxPNK+42LYVew+MlWlhKtLCUEEA0jLtlH+6mvWzdv5ed817nlVdeAWBA8UDOOvMMZsyYwZQpU3rtmMby5cv5j3vvIeBv4cLBAa4YFqDQZ384OJ3PDZcODXL+4CBvlmfxxor3+fbHH3HL977PNddcg3TDL4vtcVxIiMglwGzADfyfMea+dLxvNBpl9erVLF++nKXL3mVf9V4AYjlFhAdMJJpbTDR3gOMGnNUxuDOI5g8mmj84Hhomhstfi7tpLxVNVcx7/Q3mzp2Lz5fJ9OmnM2PGDGbMmEFBQYHdladcNBrlscce4/nnn2dYXozvT2+gOFu7lZKV5YGrhgeYOTjIYxvymD17NmvWrOGOO+4gO9vB3bad5KiQEBE38DBwEVAOfCwi84wx61P5vvX19fzq17/m07VrEZeHcP4gIsPPJlJQ2jvXUerJxEUspz+xnP6EB048MKYRqt/Nso9WsWzZMnJycrnrrt9x6qmn2l1tSr3++us8//zzXDAkyNdGt+B11gZy3U6e13Db5Eb+XpbJi++8TZ8+fbj11lvtLuuEOW2S+XRgqzFmuzEmBDwHXJ3KN6yqquLb3/kOn322juCwGTRO+RqBMRcRLhqnAdEbuDxEC0tpHT6DpknX0XLSlTSbDP7933/MggUL7K4uZaLRKM8/9yyjCqJcP9bZARGICJmZmVx77bVkZmYSiDi3G8clcPmwIGcXB3njjfk0NDTYXdIJc1pIDAF2t7lfbj12CBG5WURWiMiKffv2ndAbrl27lr179hDz5hDN7tdr9nBQ7RAhlplPJKsvsViUf/zjTbsrSpm9e/dSWbWHyX1bHT/Pwh8RrrgiPj378ssvx+/gkEiY1C9Ma2uI9etT2gmSFk77RGzvt3/ECJox5jHgMYjPbjqRN7z44ovx+XzM/uN/IRteI1JQcmD8IZpTpKHR0xmDK9gQnxHVXI23YTcSDXHtdddxww032F1dygwaNIjJkyexeNOnXFIaJMvj3IHqbI85ZHp2sYNrBYgZeGN3DgP69+sRXZZO+wQsB0rb3C8BKlP5hiLC+eefz+mnn87TTz/N0mXvUlG+0nrSRSy7H5HcIis0BsRnMzn9q9dxiGX3JXLY/R4pEsLtrzkQChn+fZhwfEny3Lw8pp55Otdffz2jR4+2udDUEhFuueV73PLd7/KblX24cVwj4wqdeaLcuMIw1DezdP4LFHtM/L5DVba4+L+N+exsdPGLX3ynR8yYc9R5EiLiATYDs4AK4GPga8aYdR29JhXnSTQ0NLBu3TrWrVvH2k8/ZeOGjYTD8dUgxZ1BNLOAqK+AWFYBscwCYlmFxHz54HJwx25vYgwSasEVbIhfAvW4gg1ktDZgQgeXgC4dOpTJkyZx8sknc/LJJ1NSUtJjpi121sqVK/n9A/ezd281s0oCfHFEgBwHnBvR3YSisHB3Jq/uzCEzO4cf/NutXHTRRY7+e+q2azeJyGXAQ8SnwM4xxtxztOPTcTJdOBxm27ZtbNq0ibKyMnbt2sXOXbvY33Y8RAQy84n48ollFhLLzCfmyyeWmY/JyO6RrQ/bRUO4go3xS2sjrkAD7tYG3MEGTPTgt82s7GyGDxvGsGHDGDp0KCNHjmTChAnk5+fbWLxz+P1+Hn/8cV5++SW8LphRHOTi0iBDcnSntmOpCbp4q8LHkqpsmkPwuc+dy623/pB+/frZXdoxdduQSJadC/z5/X7Ky8sPBEdZWRk7d+6ivKKcaORg013cHmK+fCLePExmPjFf3oEQ6andV10m0nowBFqbDtz2hJowocAhh/brX8SI4QfDIHHp27evo7/ROcW2bdv429/+xqJFbxIOR5jYN8yFQwKc0i+Mx2lTXGwUM7C53sOiikxW7PMBwtnnnM0XvvBFpk7tPhuHaUjYKBqNUl1dTUVFxYFLeXk5ZbvL2VNVSaRNgOByx5f28ObFu64yCzCJ64xeskBdLIIr2HSweyhotQhamzDh4CGH9u3Xn9KSEkpLSxgyZMiBy+DBg8nKyrLpH9Cz1NfXM3/+fF55+SX219SS64XpRUHOKm5lTEGk220q1FV2N7tZvsfHB/uyqAlAbk42l19xJddccw2DBnW/bYc1JBwqGo2yf//+A8GRuN5VtpuqyopDNmOXjEyr+6og3vKwwiPmK4Duto+CMUg4gCtYb40TxMMgI9SICTYdcmifvv0YNrSU0tJShgwZQklJyYEg6AkDgd1FJBLho48+YtGiRbz37jJaQ2H6ZxnOGhDgzOIQJTnRHt8I3hdw8cFeLx9UZ7G72YXL5eL0adO48KKLOOecc7r1FxMNiW4oEomwZ88edu/efaAbq6xsN7vKyqivqz14oMtNLKtPfD5/dvwSze4Lbq99xbdlYvEg8Nfi9tfg8teSEaw7pHvIl5lJaUkpw4YNpbS09MClpKSkRyxl0NP4/X7effddFi16kxUrVhKLxRiUY5heFGD6gJ4VGPsCLj6q9vLxvky2N8Yno0ycMIELL7qImTNnUljo3CX/k6Eh0cO0tLTEWxy7drF9+3a2bNnC5s1baGpqsxpmVj7hzD7EsvsRzRtINGdA6lscxiCtTXgaK3G17McTqMUVqINYvEXkychgxIgRjB0zhlGjRjFixAhKSkro37+/jhN0U3V1dSxdupS3lyxhzZo1xIxhcI7h9KIAZwwIUZLb/Qa89wfjwfBR9cFgGDtmNDMvmMX555/fLbuTjkVDohcwxlBTU8PWrVsPXDZt3kJVZQUQn64bzi0mYi1wF8vq0yWD5BIO4G6sxN1YibepClqbgfh5BmPHjGXMmNGMHh2/lJaW6p7UPVhtbS3Lli1jyVtvsXbtWmLGUJob40yrS6rIwftQNIaEj6q9fFCdyeb6+N/o2DGjOX/mBZx//vkMHjzY5gpTS0OiF2tqamL16tWsXLmSj1esoKK8HADxZhHLOLGlzSUWhkB8PZrsnBxOO/VUTjvtNE477bReeZ6BOqimpoZ33nmHRYveZP36DQCMLohyVnGQM4tbHbE3RWsUVlR7eb86k89qM4gZGDa0lAsvupgLLriAIUOOWAWox9KQUAdUV1ezatUqPvnkExobT2yzFo/Hw/jx4znttNMYM2YMbreeQKiOVFVVxVtvvcXiN99k+86deFxwelErMwcHGVcYSfv4RVmTmyWVmSyvziQQhuIBRcy68CJmzZrFyJEje+WXGw0JpZQjbNu2jfnz57Nwwd9p8QcYmGM4f5Cf8wa1pvTs7lAU3t/rY0llFtsb3WRkeDj//JlceeWVTJo0qVcGQ1saEkopRwkGg7zzzju8Nm8en61bR5YHLhzi55LSIHnervscao3CkopM3ijPoT4Iw4cN5cqrruaiiy7Ss+zb0JBQSjnW1q1beeqpp1i69B28buGCwX6uGBo4obBojcKb5ZksKM+hsRWmTpnCN6+/nilTpvT6VkN7NCSUUo63c+dOnn76ad5avJicDMPXRzdxVnEo6TGL9XUe5mzKp9ovTD/9dL7xzW8yadKk1BTdQ2hIKKW6je3bt/P7B+5nw8ZNnNIvzDkDg50Oik9rMninKpMhgwfx7z++o1utn2QnDQmlVLcSjUZ55ZVX+N//fYzW1lCnX+dyufjyl7/MDTfcoMu2JEFDQinVLTU2NlJTU9Pp4/Pz87vF0txO09mQ0FNhlVKOkp+fr7OQHKSbLSWqlFIqnTQklFJKdUhDQimlVIc0JJRSSnVIQ0IppVSHNCSUUkp1SENCKaVUh7r9yXQisg/YZXcdPUh/YL/dRSjVDv3b7FrDjDFFxzqo24eE6loisqIzZ2EqlW76t2kP7W5SSinVIQ0JpZRSHdKQUId7zO4ClOqA/m3aQMcklFJKdUhbEkoppTqkIaEAEJFLRGSTiGwVkZ/aXY9SCSIyR0SqReQzu2vpjTQkFCLiBh4GLgUmAF8VkQn2VqXUAX8GLrG7iN5KQ0IBTAe2GmO2G2NCwHPA1TbXpBQAxpilQK3ddfRWGhIKYAiwu839cusxpVQvpyGhAKSdx3Tam1JKQ0IB8ZZDaZv7JUClTbUopRxEQ0IBfAyMEZERIuIFvgLMs7kmpZQDaEgojDER4PvAQmAD8IIxZp29VSkVJyLPAu8D40SkXERutLum3kTPuFZKKdUhbUkopZTqkIaEUkqpDmlIKKWU6pCGhFJKqQ5pSCillOqQx+4ClHIqEekHLLbuDgSiwD7r/nRrnauufs9TgQHGmAVd/bOVOh4aEkp1wBhTA0wBEJE7gWZjzH929vUi4jbGRJN821OBkwENCeUI2t2k1HEQkddEZKWIrBORm6zHPCJSLyJ3i8hHwHQRucrap2OZiPyXiLxqHZsrIn8WkY9E5BMRuVJEsoBfA18XkdUicq2N/0SlAG1JKHW8rjfG1IpINrBCRF4CmoACYJUx5pfWc5uBs4Ey4IU2r/81sMAYc4OI9AE+BCYDvwNONsb8MJ3/GKU6oi0JpY7PbSKyhvhyESXAKOvxEPCKdXsCsMkYs8vElzZ4ts3rLwZ+ISKrgSVAJjA0LZUrlQRtSSiVJBG5EPgccKYxJiAi7xL/kAcImINr3bS3BDttnrvGGLPtsJ/9uS4vWKkToC0JpZJXANRaATEROL2D49YRX5SuVEQE+HKb5xYC/5a4IyJTrZtNQF4KalbquGhIKJW8+UC21d30a+LjCUcwxviJr667CFhGfI+OBuvp31o/41MRWQfcaT3+FnCKNZitA9fKdroKrFIpJCK5xphmqyXxKPCpMea/7K5Lqc7SloRSqfVda3B6PZAF/K/N9SiVFG1JKKWU6pC2JJRSSnVIQ0IppVSHNCSUUkp1SENCKaVUhzQklFJKdUhDQimlVIf+P+lxYUOghtuzAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x = 'Target', y = 'serum_insulin', data = X)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## BMI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(X['BMI'], kde = False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x = 'Target', y = 'BMI', data = X)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x154149b0>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "BMIDF = X.groupby(['BMI','Target'])['Target'].count().unstack('Target').fillna(0)\n",
    "BMIDF.plot(kind = 'bar', stacked = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Diabetes_pedigree_function，糖尿病家系作用"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(X['Diabetes_pedigree_function'], kde = False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15a23df0>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x = 'Target', y = 'Diabetes_pedigree_function', data = X)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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50bhrkUbBoJe6A3S+QHcQmNQcg15Htf5cSufTnS72ir7tGUk+0J9L/PYkdyS5rL/v5Un+tT8R2mfnDs2XJplBr6PdpXTncf8P4JEkZwG/C6wDfo3uaMbz4BfnXvoH4LKqejlwHXDNOIqWlmJkPw4uTYnNdCdmg+7Q9M3AM4FPVdXPge8luau//3TgTODO7vQlHEN3Clppohn0Omr151C5EDgzSdEFd/HEOXCe8hDg/qo67wiVKA2FUzc6ml0GfKyqXlBV66pqLd0vNT0M/F4/V38ycEHffw8wk+QXUzlJXjKOwqWlMOh1NNvMU7feb6L7oYhZutMWf5DujKmPVtXP6P44vCfJV4F76c4xLk00z14pLSDJc6rqx/30zt10v0b1vXHXJS2Hc/TSwm7vfyzmWcBfG/KaZm7RS1LjnKOXpMYZ9JLUOINekhpn0EtS4wx6SWqcQS9Jjfs/BtPpG+2qagEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(X['Age'], kde = False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = X.groupby(['Age','Target'])['Age'].count().unstack('Target').fillna(0)\n",
    "DF.plot(kind = 'bar', stacked = True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征之间的相关性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15d477d0>"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr = X.corr().abs()\n",
    "data_corr\n",
    "plt.subplots(figsize=(13, 9))\n",
    "sns.heatmap(data_corr,annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 可以看出来除了 age和 pregnants之间的相关性大于0.5之外，其他的特征之间都相对独立。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
